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Practical Ultrasonographic Detection of Sarcopenia in Patients With Long-term Gastrectomy

Practical Ultrasonographic Detection of Sarcopenia in Patients With Long-term Gastrectomy: A Cross-sectional Case-control Study

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06354348
Enrollment
90
Registered
2024-04-09
Start date
2023-12-06
Completion date
2024-03-30
Last updated
2024-04-09

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Gastrectomy, Sarcopenia

Brief summary

The investigators aimed to evaluate long-term sarcopenia in patients with total and distal gastrectomy by measuring the anterior thigh muscle with USG, which is a more specific and easy method.

Detailed description

Sarcopenia was found to be significantly increased in patients who underwent total, proximal and distal gastrectomy compared to those who did not undergo gastrectomy in the long term. To date, very few studies have investigated the development of sarcopenia in the long term after gastrectomy. In these studies, sarcopenia was usually assessed using BIA and DEXA. Muscle thickness measured by ultrasound has high sensitivity and specificity in determining regional muscle mass. Patients who underwent total(n=20) and subtotal gastrectomy(n=35) and patients who did not undergo gastrectomy(n=35) were included in the study. Ultrasonographic measurements Anterior thigh muscle thickness of the dominant side was measured at the mid-point between the anterior superior iliac spine and the upper border of the patella. Transverse measurements were obtained between the outer fascia of rectus femoris muscle and the periosteum of femur. Sonographic thigh adjustment ratio (STAR) was calculated by dividing the anterior thigh muscle thickness (mm) by BMI. Functional evaluations Grip strength was measured with an electronic hand dynamometer. Three repeat measurements were performed from the dominant side and the maximum value was taken for the analyses. Chair stand test (CST) was performed while participants were asked to stand up and sit down from a chair - without arm rest, for five times as quick as possible, with their arms crossed over their chests. Three measurements were performed and median values were taken for the analyses. Diagnosis of sarcopenia The ISarcoPRM algorithm was used whereby the diagnosis of sarcopenia was established if low muscle mass (i.e. STAR values \<1.4 for males and \<1.0 for females) was combined with low grip strength (\<32 kg (males) and \<19 kg (females)) and/or increased CST time (≥12 sec).

Interventions

DIAGNOSTIC_TESTUSG, Grip strength, Chair stand test (CST)

Anterior thigh muscle thickness was measured with USG Grip strength was measured with an electronic hand dynamometer Chair stand test (CST) was performed while participants were asked to stand up and sit down from a chair - without arm rest, for five times as quick as possible, with their arms crossed over their chests.

Sponsors

Dr Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
45 Years to 80 Years
Healthy volunteers
Yes

Inclusion criteria

* Who agreed to participate in the study * Total or subtotal gastrectomy at least 1 year ago * The control group consisted of patients without gastrectomy with similar

Exclusion criteria

as the patient group

Design outcomes

Primary

MeasureTime frameDescription
Sarcopenia (Sonographic thigh adjustment ratio (STAR) was calculated by dividing the anterior thigh muscle thickness (mm) by BMI )through study completion, an average of 4 monthsThe diagnosis of sarcopenia was established if low muscle mass (i.e. STAR values \<1.4 for males and \<1.0 for females) was combined with low grip strength (\<32 kg (males) and \<19 kg (females)) and/or increased CST time (≥12 sec)

Countries

Turkey (Türkiye)

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026